Run: 2026-04-24-01KPZTTP4916Q5M9W931TRM5V5

Run Details

Duration:
29.1s
Cost:
$0.057970
Provider:
Amazon Bedrock

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Rain came down in sheets across Camden High Street, turning the asphalt into a black mirror that caught every smear of neon and every sweep of headlights. Detective Harlow Quinn ran through it with her coat plastered to her back, the leather of her watch strap chafing her wrist where she'd cinched it too tight that morning. Twenty metres ahead, Tomás Herrera ducked between two parked vans and vaulted a low wall. "Herrera! Stop!" He didn't. Of course he didn't. The Spaniard moved like someone who'd spent years running from things worse than her, shoulders tucked, weight forward, a medical bag slung across his chest that bounced hard against his hip with every stride. Quinn had watched him leave the Raven's Nest forty minutes earlier, a paper parcel tucked inside his jacket. She'd followed him three streets before he'd clocked her in a shop window reflection. Then the parcel had disappeared somewhere under his shirt, and he'd started running. She cleared the wall. Her knee complained. Eighteen years on the job had left a collection of such complaints, and she ignored each one with the same clipped discipline she'd learned in the Service. "I just want to talk, Tomás!" Her voice cracked against wet brick. He threw a glance over his shoulder, curls flattened to his forehead, the scar on his left forearm catching a streetlight as he pumped his arms. Then he cut left, down an alley she hadn't known existed. Quinn followed. The alley narrowed. Drainpipes wept. Somewhere above, a woman was shouting at someone in Bengali, and a baby was crying, and a television played a football match at volume loud enough to shake the window frames. London's ordinary noise, wrapped around something that no longer felt ordinary at all. Herrera hit a chain-link fence at the alley's end. She expected him to climb. Instead, he crouched, yanked a loose panel aside, and slithered through a gap she'd have sworn wasn't wide enough for a dog. "You have got to be joking." She reached the fence five seconds behind him. Dropped to her knees. Rain ran down her collar and into the small of her back as she flattened herself and pushed through. Concrete scraped her shoulder. She came up on the other side in a service yard stacked with dead refrigerators, and caught the flash of his jacket vanishing through a doorway marked with a rust-bitten Underground roundel. Camden Road. The station had been decommissioned before she'd joined the force. Quinn slowed. Not from caution, exactly. Something else. The doorway exhaled a smell that had no business rising from any Tube station she'd ever known — wet iron and something sweet underneath, like crushed lilies left too long in a vase. Her hand went to the grip of her radio and stopped there. She thumbed the button anyway. "DI Quinn. In pursuit of a person of interest. Camden Road disused station. Request backup." Static. Not the ordinary dead-air static of a blackspot. A layered static, as if something were breathing through the channel. "Repeat. DI Quinn, requesting—" The radio clicked and went silent. The little green light on its face died like a snuffed candle. She stared at it. Three years ago, DS Morris had gone through a door like this one. He had not come back. The official file said *missing, presumed.* Quinn's private file, the one she kept at home in a biscuit tin under the floorboards of her spare room, said something else entirely. It said *I should have followed.* It said *whatever took him is still there.* Rain hammered on the tin roof of the service yard. Somewhere inside the station, a footstep splashed, then another, growing fainter. She could go back. Call it in from the high street, get a uniformed unit, come back at dawn with warrants and torches and people who carried more than a cold radio and a collapsible baton. That was the correct procedural choice. Her chief would sign it off. Her pension liked that choice. She looked at her watch. 11:47. The moon above the clouds was full; she'd noticed it driving over. Her mouth tightened. "Sod it." Quinn ducked through the doorway. The stairwell had been stripped of its lighting a decade ago, but it wasn't dark. A soft green phosphorescence clung to the tiled walls, pulsing where her hand brushed against it. She drew the baton, snapped it open, and descended. The stairs went further than they should. She counted seventy-two steps before she stopped counting, because counting was making her chest tight. At the bottom, a platform. Where rails should have been, there was a floor. Where silence should have been, there was a murmur of many voices speaking at once in languages she half-recognised and some she didn't recognise at all. Stalls. Canvas stalls lit by lamps that burned without flame. A woman with fish-pale eyes weighed teeth on a brass scale. A child sold bottled sounds. A bearded man in a butcher's apron hung strips of something dark from a line and haggled with a customer whose face Quinn's own eyes refused to focus on, sliding off it like rain off glass. At the edge of the nearest stall, a lean man in a coat with silver buttons watched her. He held out a gloved hand, palm up, and said nothing. She understood, without being told, that she could not pass without paying. She also understood, without being told, that she had nothing he would accept. Herrera was a shape in the crowd now, dark curls and a medical bag, moving fast between the stalls. He looked back once. Their eyes met across the bone-smelling air of the Veil Market, and for half a heartbeat he didn't look like a fugitive at all. He looked like a man trying to warn her. He shook his head. Once. A small, urgent movement. *Don't.* Quinn's grip tightened on the baton. Rainwater still dripped from her hair onto the platform tiles, each drop hissing faintly where it struck the stone. She took one step forward. The man with silver buttons closed his fingers.
created_at"2026-04-24T13:28:21.91Z" 4/24/2026, 1:28:21 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency924
moderation_latency(null)
generation_time29053
tokens_prompt1140
tokens_completion1542
native_tokens_prompt1579
native_tokens_completion2003
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
usage0.05797
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"4066f8a4-e664-401f-9353-7e7f367892b1"
is_byokfalse
latency924
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777037301-TYGnfyiOYpouYpczItr3"
session_id(null)
api_type"completions"
id"gen-1777037301-GEP6n51LR3wyqFfEyKpC"
upstream_id"4066f8a4-e664-401f-9353-7e7f367892b1"
total_cost0.05797
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1018
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
90.18% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1018
totalAiIsms2
found
0
word"weight"
count1
1
word"silence"
count1
highlights
0"weight"
1"silence"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences87
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences87
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans4
markdownWords13
totalWords1019
ratio0.013
matches
0"missing, presumed."
1"I should have followed."
2"whatever took him is still there."
3"Don't."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount984
uniqueNames19
maxNameDensity0.81
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street1
Harlow1
Quinn8
Tomás1
Herrera3
Spaniard1
Raven1
Nest1
Service1
Bengali1
Underground1
Road1
Tube1
Morris1
Rain3
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Spaniard"
5"Raven"
6"Morris"
7"Rain"
places
0"Camden"
1"High"
2"Street"
3"Service"
4"Bengali"
5"Road"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences54
glossingSentenceCount1
matches
0"looked like a man trying to warn her"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1019
matches(empty)
59.14% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences93
matches
0"liked that choice"
1"told, that she"
2"told, that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean26.82
std23.23
cv0.866
sampleLengths
057
115
22
385
434
56
643
72
849
936
106
1167
1212
1353
145
1515
1620
174
1818
194
2062
2121
2253
2321
242
255
2640
2762
281
2961
3029
3112
3213
3356
349
351
3625
3713
89.13% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences87
matches
0"been decommissioned"
1"been stripped"
2"being told"
3"being told"
47.62% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs175
matches
0"was shouting"
1"was crying"
2"were breathing"
3"was making"
81.41% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences93
ratio0.022
matches
0"The doorway exhaled a smell that had no business rising from any Tube station she'd ever known — wet iron and something sweet underneath, like crushed lilies left too long in a vase."
1"The moon above the clouds was full; she'd noticed it driving over."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount990
adjectiveStacks0
stackExamples(empty)
adverbCount37
adverbRatio0.03737373737373737
lyAdverbCount3
lyAdverbRatio0.0030303030303030303
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean10.96
std9.13
cv0.833
sampleLengths
027
130
215
32
42
54
634
718
814
913
104
113
1227
136
146
1526
1611
172
183
192
2031
2113
229
235
2422
256
268
274
2819
294
3032
312
3210
332
344
352
3633
3712
385
3915
401
418
4211
434
446
4512
464
4713
485
4930
64.86% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.43478260869565216
totalSentences92
uniqueOpeners40
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences76
matches
0"Of course he didn't."
1"Then the parcel had disappeared"
2"Then he cut left, down"
3"Somewhere above, a woman was"
4"Instead, he crouched, yanked a"
5"Somewhere inside the station, a"
ratio0.079
72.63% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences76
matches
0"She'd followed him three streets"
1"She cleared the wall."
2"Her knee complained."
3"Her voice cracked against wet"
4"He threw a glance over"
5"She expected him to climb."
6"She reached the fence five"
7"She came up on the"
8"Her hand went to the"
9"She thumbed the button anyway."
10"She stared at it."
11"He had not come back."
12"It said *I should have"
13"She could go back."
14"Her chief would sign it"
15"Her pension liked that choice."
16"She looked at her watch."
17"Her mouth tightened."
18"She drew the baton, snapped"
19"She counted seventy-two steps before"
ratio0.368
78.42% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences76
matches
0"Rain came down in sheets"
1"Detective Harlow Quinn ran through"
2"The Spaniard moved like someone"
3"Quinn had watched him leave"
4"She'd followed him three streets"
5"She cleared the wall."
6"Her knee complained."
7"Her voice cracked against wet"
8"He threw a glance over"
9"The alley narrowed."
10"London's ordinary noise, wrapped around"
11"Herrera hit a chain-link fence"
12"She expected him to climb."
13"She reached the fence five"
14"Rain ran down her collar"
15"Concrete scraped her shoulder."
16"She came up on the"
17"The station had been decommissioned"
18"The doorway exhaled a smell"
19"Her hand went to the"
ratio0.763
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences76
matches(empty)
ratio0
90.59% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount3
matches
0"The Spaniard moved like someone who'd spent years running from things worse than her, shoulders tucked, weight forward, a medical bag slung across his chest tha…"
1"The doorway exhaled a smell that had no business rising from any Tube station she'd ever known — wet iron and something sweet underneath, like crushed lilies le…"
2"Call it in from the high street, get a uniformed unit, come back at dawn with warrants and torches and people who carried more than a cold radio and a collapsib…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
89.1327%